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Crop Breeding Journal، جلد ۲، شماره ۲، صفحات ۱۱۱-۱۱۷
عنوان فارسی
چکیده فارسی مقاله
کلیدواژه‌های فارسی مقاله
عنوان انگلیسی Application of unsupervised weighting algorithms for identifying important attributes and factors contributing to grain and biological yields of wheat
چکیده انگلیسی مقاله To identify important attributes/factors that contribute to grain and biological yields of wheat, 9912 sets of diverse data from field studies were extracted, and supervised attribute-weighting models were employed. Results showed that when biological yield was the output, grain yield, nitrogen applied, rainfall, irrigation regime, and organic content were the most important factors/attributes, highlighted by 9, 7, 5, 3 and 3 weighting models, respectively. In contrast, when grain yield was the output, biological yield, location, and genotype were identified by 8, 6, and 5 weighting models, respectively. Also, five other features (cropping system, organic content, 1000-grain weight, spike number m-2 and soil texture) were selected by three models as the most important factors/attributes. Field water status, such as the irrigation regime or the amount of rainfall, was another important factor related to the biological or grain yield of wheat (weight ≥ 0.5). Our results showed that attribute/factor classification by unsupervised attribute-weighting models can provide a comprehensive view of the important distinguishing attributes/factors that contribute to wheat grain or biological yield. This is the first report on identifying the most important factors/attributes contributing to wheat grain and biological yields-using attribute-weighting algorithms. This study opened a new horizon in wheat production using data mining.
کلیدواژه‌های انگلیسی مقاله attribute weighting, data mining, unsupervised model, wheat
نویسندگان مقاله e بیژن زاده | e. bijanzadeh
faculty of agriculture, shiraz university, shiraz, iran

سازمان اصلی تایید شده: دانشگاه شیراز (Shiraz university)

y امام | y. emam


e ابراهیمی | e. ebrahimi


m ابراهیمی | m. ebrahimi


نشانی اینترنتی http://cbjournal.spii.ir/browse.php?a_code=A-10-192-6&slc_lang=en&sid=en
فایل مقاله اشکال در دسترسی به فایل - ./files/site1/rds_journals/388/article-388-270265.pdf
کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده اصلاح نباتات
نوع مقاله منتشر شده پژوهشی
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